Principal Engineer, Agentic Systems

PayPal
San Jose, California2026-03-19Full time

About the job

This job increases the effectiveness of software engineers, sets the technology roadmap, adapts roles to achieve technical goals, provides advice to senior executives, handles ambiguous situations, uses exploratory research for decisions, identifies improvement opportunities, mentors others, and enhances organizational performance.

Responsibilities

Increases results & effectiveness of all software engineers in a large domain

Sets the technology roadmap for a domain

Adapts their role to the need, selecting the most effective means of realizing their technical goals

Provides advice and counsel to senior executives within PayPal, influencing the development of multi-year business strategies

Exercises wide latitude in determining objectives and approaches to assignments and takes initiative to achieve results

Handles ambiguous and unfamiliar situations and uses creativity to deliver decisive resolutions

Uses discovery & exploratory research, not being limited to technical domains, to make successful decisions

Identifies themes & trends that span projects and teams, and finds broadly impactful opportunities for improvement

Uses professional savvy to determine when industry-standard solutions can be adopted, versus when a problem space warrants a novel solution ("build/buy")

Mentor others as a means of propagating technical influence, and to enhance the performance of their organization

Qualifications

Minimum

10+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Preferred

10+ years in software/ML engineering, with deep expertise in LLM-based agent systems

Production experience building agentic platforms — multi-agent orchestration, tool-use frameworks, MCP/ACP protocols

Strong systems design skills — you've built platforms that handle millions of requests with high reliability

Experience with payment APIs, authentication flows , or financial transaction systems

Familiarity with the emerging agent protocol landscape and LLM tool-use patterns at scale

Published work, patents, or open-source contributions in agentic AI is a plus